数据融合技术在公路隧道火灾探测系统中的应用

介绍了几种常用公路隧道火灾探测器,如温度探测器、烟雾探测器、火焰探测器等。针对其各自在隧道火灾探测系统中应用时容易产生反应延迟、漏报和误报等缺点,提出了在隧道火灾探测系统中采用经典的自适应加权融合估计算法进行多探测器系统的数据融合。并分别对单传感器、多传感器和异类传感器火灾探测系统的数据融合进行了可信度分配。结果表明,与采用单一类型火灾探测器系统相比,多探测器系统的数据融合结果具有更高的准确度和可信度。

Application of Data Fusion Technique in Highway Tunnel Fire Detection System

Some types of highway tunnel fire detectors in common use are introduced,such as temperature detector,smoke detector and flame detector,etc.Aiming to their shortcomings when they used in fire detection system,such as delay-response,missing-report and misinforming,etc.,data fusion method using adaptive weighted estimate algorithm with multi-type detectors is proposed for tunnel fire detection system.Reliability distribution is carried out respectively to the data fusion of single-sensor,multi-sensor and multi-type sensor system.The result shows that comparing with the system with single type detector,the veracity and the reliabihty of fire detection system with multi-type detectors are better.